Aplicação de Redes Neuro-Fuzzy para Predição de Propagação de Ondas de Rádio LoRa em um Ambiente Suburbano Amazônico

In this work, a Neuro-Fuzzy system was used to predict the radiopropagation of a LoRa (Long-Range) signal. The objective is to create a propagation model and analyze its performance, comparing it with models commonly used in the literature, such as the free space model, the ITU-R P.1546 model for distances smaller than 1km and the ITU-R P model: 833 for regions with vegetation cover. The neuro-fuzzy system created proved to be very efficient for the Amazon region, with a superior performance than the other mentioned models.